Amazon
AIF-C01 · Question #28
An AI practitioner has built a deep learning model to classify the types of materials in images. The AI practitioner now wants to measure the model performance. Which metric will help the AI…
The correct answer is A. Confusion matrix. A confusion matrix is the correct metric for evaluating the performance of a classification model, such as the deep learning model built to classify types of materials in images.
Submitted by yaw92· Mar 30, 2026NO_OFFICIAL_DOMAINS_PROVIDED
Question
An AI practitioner has built a deep learning model to classify the types of materials in images. The AI practitioner now wants to measure the model performance. Which metric will help the AI practitioner evaluate the performance of the model?
Options
- AConfusion matrix
- BCorrelation matrix
- CR2 score
- DMean squared error (MSE)
How the community answered
(13 responses)- A92% (12)
- C8% (1)
Explanation
A confusion matrix is the correct metric for evaluating the performance of a classification model, such as the deep learning model built to classify types of materials in images.
Topics
#Model evaluation#Classification metrics#Confusion matrix
Community Discussion
No community discussion yet for this question.